CN111476613A - Shopping guide auxiliary method and device based on passenger flow analysis, server and storage medium - Google Patents
Shopping guide auxiliary method and device based on passenger flow analysis, server and storage medium Download PDFInfo
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- CN111476613A CN111476613A CN202010386834.6A CN202010386834A CN111476613A CN 111476613 A CN111476613 A CN 111476613A CN 202010386834 A CN202010386834 A CN 202010386834A CN 111476613 A CN111476613 A CN 111476613A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Abstract
The invention discloses a shopping guide auxiliary method and device based on passenger flow analysis, a server and a storage medium, wherein the method mainly comprises the following steps: aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user; associating the aggregated customer data to a member system, wherein the member system records consumption records of customers; and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information. By adopting the method and the system, the user image is associated with the member system, the member can be identified when entering the store, and further, the targeted shopping guide reminding is carried out, so that the pertinence of the shopping guide service can be ensured, the user experience is improved, and the user viscosity is increased.
Description
Technical Field
The invention relates to the technical field of intelligent analysis, in particular to a shopping guide auxiliary method and device based on passenger flow analysis, a server and a storage medium.
Background
For a store which is located at a fixed position (such as beside a company, beside a school, etc.), there is a certain rule for the amount of traffic, for example, there are few people on duty, many people off duty, many frequent visitors, etc. A general store has a member system, and a user can enjoy certain benefits (for example, discount or reward exchange for points) by registering a member, and the member can frequently visit as a frequent visitor.
The member information stored by the current merchant system is generally a pile of numbers, such as information of a user name, a mobile phone number, shopping records and the like, and the member needs to issue relevant evidence (such as the mobile phone number) to authenticate the member after arriving at a store, participates in preferential activities, so that the shopping experience of the member is influenced to a certain extent, and the shopping guide behaviors of the member and non-members are not different, the shopping experience of the member user is also influenced, and the client stickiness is not favorably improved.
Disclosure of Invention
The embodiment of the invention provides a shopping guide auxiliary method and device based on passenger flow analysis, a server and a storage medium.
The first aspect of the embodiments of the present invention provides a shopping guide auxiliary method based on passenger flow analysis, which may include:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
Further, the method further comprises:
and transmitting the aggregated customer data to a merchant terminal so that the merchant can make a marketing strategy according to the aggregated customer data.
Further, after the camera collects the client image, the face image feature data corresponding to the client image is identified, and the face image feature data is sent to the background server.
Further, before aggregating the customer image data according to different dimensions indicated by the data attributes of the image data, the method further comprises:
and acquiring the facial image characteristic data from the camera in an http interface mode, and identifying data attributes corresponding to the facial image characteristic data, wherein the data attributes at least comprise the shooting time of a client image, the gender and the age bracket of the client.
Further, according to the target member information corresponding to the detected face features of the store-entering client, member shopping guide reminding information is generated and output to the shopping guide terminal, and the method comprises the following steps:
acquiring characteristic data of a face image to be detected of a current store-entering customer, which is sent by the camera;
when the target facial image characteristics matched with the facial image characteristic data to be detected exist, determining member information corresponding to the target facial image characteristics as target member information;
and generating and outputting shopping guide reminding information to a shopping guide end according to the shopping information corresponding to the target member information.
A second aspect of an embodiment of the present invention provides a shopping guide assisting device based on passenger flow analysis, which may include:
the aggregation classification module is used for aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
the data association module is used for associating the aggregated customer data to a member system, and the member system records the consumption records of customers;
and the shopping guide reminding module is used for generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
Further, the apparatus further comprises:
and the aggregated data transmission module is used for transmitting the aggregated customer data to the merchant terminal so that the merchant can make a marketing strategy according to the aggregated customer data.
Further, after the camera collects the client image, the face image feature data corresponding to the client image is identified, and the face image feature data is sent to the background server.
Further, the apparatus further comprises:
and the data attribute identification module is used for acquiring the facial image feature data from a camera in an http interface mode and identifying the data attributes corresponding to the facial image feature data, wherein the data attributes at least comprise the shooting time of a client image, the gender and the age of the client.
Further, the shopping guide reminding module comprises:
the characteristic data acquisition unit is used for acquiring the characteristic data of the face image to be detected of the current store-entering client, which is sent by the camera;
the target member determining unit is used for determining member information corresponding to the target facial image characteristics as target member information when the target facial image characteristics matched with the facial image characteristic data to be detected are detected;
and the shopping guide reminding generating unit is used for generating and outputting shopping guide reminding information to a shopping guide end according to the shopping information corresponding to the target member information.
A third aspect of embodiments of the present invention provides a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the following steps:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
A fourth aspect of an embodiment of the present invention provides a server, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the steps of:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
The invention has the beneficial effects that: through associating the user image acquired and identified by the store camera with the member system, after the member enters the store again, the relevant member information is called according to the identified member face to determine shopping guide reminding information, and targeted shopping guide reminding is carried out, so that the pertinence of shopping guide service is increased, the user experience is improved, and the user viscosity is increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a shopping guide assisting method based on passenger flow analysis according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a shopping guide assisting device based on passenger flow analysis according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a shopping guide reminder module according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "including" and "having," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The background server related to the embodiment of the invention can be a large-scale computer, a PC, a tablet computer, a palm computer, a Mobile Internet Device (MID) and other terminal devices with data processing capability, and the shopping guide end can be a smart phone equipped for a shopping guide in a store or other mobile terminal devices convenient to carry about.
The passenger flow analysis related to the application mainly comprises the steps that after a camera identifies a face of a store-entering client, a background data processing system can classify the dimensions of the store-entering client such as time, age, gender and the like of the store-entering client, for example, the passenger flow analysis can determine that a coffee shop beside a company is 12 o 'clock-2 o' clock at noon and 6 o 'clock-8 o' clock at night, the passenger flow is very large, a main visiting crowd is a young year or a middle year of 20-40 years, and the proportion of men and women is almost equal. Through the passenger flow analysis, the store can be helped to formulate marketing strategies, for example, in two time periods of noon and night, shopping offers are added or member points are doubled, and the like.
As shown in fig. 1, in the present application, the shopping guide assisting method based on passenger flow analysis at least includes the following steps:
s101, aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the time, sex and age group distribution of the user entering the store.
It can be understood that the camera of the store has a function of shooting the user portrait and performing face recognition, the camera can send the face image feature data to the background server after recognizing the face image feature data, and the server can receive the data in a form such as an http interface and recognize data attributes corresponding to the feature data, for example, attributes such as shooting time of the image, approximate age of the client, and gender.
Further, the server may aggregate the customer image data according to different dimensions indicated by the data attributes of the image data, so as to obtain distribution of the customer traffic of one store in the store time, gender and age group.
In particular, the error in the age bracket identified in the present application is typically around 6 years old, for example, the client may be 12-18 years old or 30-36 years old. Preferably, only the age of 60+ may be output without further segmentation after identifying the customer as 60 years old or over 60 years old.
And S102, associating the aggregated customer data to a member system, wherein the member system records the consumption records of the customers.
In a specific implementation, the backend server may associate the aggregated customer data with a membership system, and the membership system may include all basic information (e.g., phone number, name) of customers registered as members in the current store or other chain stores, and may further include historical consumption records of the customers.
In a preferred implementation, the server may analyze the historical consumption records of the clients through a prediction model to determine the shopping habits of the users or predict the types of the next possible shopping, for example, members may have a habit to purchase brand a skin care product, and the time for purchasing the skin care product for the last time is three months ago, it may be predicted that whether the type of the next shopping is likely to be brand a skin care product or other brands similar to the brand.
In an optional embodiment, the server may further transmit the aggregated data to the merchant terminal, and the aggregated data is presented in the form of a list or a classification chart in the merchant terminal, so that the merchant can know at a glance which time periods have more customers and which types of customers have more customers. Therefore, the merchant can conveniently make marketing strategies, for example, a preferential strategy which is more attractive to customers is set in a time period with large passenger flow, and more returning customers are strived to be generated in the time period with large passenger flow.
In an optional implementation manner, the server may further analyze and output a corresponding marketing recommendation method to the merchant terminal according to the aggregated data, so as to share a merchant reference.
And S103, generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the customer entering the store.
It can be understood that after the aggregated client data is associated with the member system, the member system not only contains the traditional member information, but also corresponds to the real image of the client, i.e. all the member information stored by the member system corresponds to the face image data of the corresponding member. When the member client enters the store again, the camera can shoot and recognize the client, the recognized facial image feature data to be detected are sent to the server, the server matches the data to be detected with the facial image feature data stored in the system, the target facial image feature data can be recognized, and further, the member information corresponding to the target facial image feature can be determined to be the target member information.
It should be noted that the generated shopping guide reminding information may include a store arrival reminding, shopping recommendation information, and the like, for example, after a member enters a store again, a shopping guide end held by a shopping guide baggage of the member receives the store arrival reminding sent by the server, and a recommendation of an interested skin care product brand or a recommendation of a type of a product that may be purchased, so that the shopping guide can be helped to perform targeted shopping guide, shopping experience of a customer is improved, and customer stickiness is improved.
In the embodiment of the application, the user image acquired and identified by the store camera is associated with the member system, and after the member enters the store again, the relevant member information is called according to the identified member face to determine the shopping guide reminding information, and targeted shopping guide reminding is performed, so that the pertinence of shopping guide service is increased, the user experience is improved, and the user viscosity is increased.
The following describes in detail a shopping guide assisting device based on passenger flow analysis according to an embodiment of the present invention with reference to fig. 2 and 3. It should be noted that, the shopping guide assisting device shown in fig. 2 and fig. 3 is used for executing the method of the embodiment shown in fig. 1 of the present invention, for convenience of description, only the portion related to the embodiment of the present invention is shown, and specific technical details are not disclosed, please refer to the embodiment shown in fig. 1 of the present invention.
Referring to fig. 2, a schematic structural diagram of a shopping guide assisting device based on passenger flow analysis is provided for an embodiment of the present invention. As shown in fig. 2, the shopping guide assisting apparatus 10 based on passenger flow analysis according to an embodiment of the present invention may include: the system comprises an aggregation classification module 101, a data association module 102, a shopping guide reminding module 103, an aggregation data transmission module 104 and a data attribute identification module 105. As shown in fig. 3, the shopping guide reminding module 103 includes a feature data obtaining unit 1031, a target member determining unit 1032, and a shopping guide reminding generating unit 1033.
In a specific implementation, after the camera acquires the client image, the face image feature data corresponding to the client image is identified, and the feature data is sent to the data attribute identification module 105 of the device.
And the data attribute identification module 105 is configured to acquire the facial image feature data from the camera in the form of an http interface, and identify data attributes corresponding to the facial image feature data, where the data attributes at least include the shooting time of the client image, the client gender and the age group.
And the aggregation classification module 101 is configured to aggregate the customer image data according to different dimensions indicated by the data attributes of the image data, so as to obtain the store-entering time, gender and age group distribution of the user.
And the data association module 102 is configured to associate the aggregated customer data with a member system, where the member system records consumption records of customers.
In an optional embodiment, the aggregated data transmission module 104 is configured to transmit the aggregated customer data to a merchant terminal, so that the merchant makes a marketing strategy according to the aggregated customer data.
And the shopping guide reminding module 103 is configured to generate and output member shopping guide reminding information to a shopping guide terminal according to the target member information corresponding to the detected face features of the store-entering customers, so that the shopping guide can be conducted according to the reminding information.
In an alternative embodiment, the shopping guide reminding module 103 may include the following elements:
and the feature data acquisition unit 1031 is configured to acquire the feature data of the face image to be detected of the current store-entering customer, which is sent by the camera.
And a target member determining unit 1032 for determining, when it is detected that there is a target facial image feature matching the facial image feature data to be detected, member information corresponding to the target facial image feature as target member information.
And a shopping guide reminding generating unit 1033 configured to generate and output shopping guide reminding information to the shopping guide terminal according to the shopping information corresponding to the target member information.
It should be noted that, for the detailed execution process of each module and unit in the system, reference may be made to the description in the method embodiment, and details are not described here again.
In the embodiment of the application, the user image acquired and identified by the store camera is associated with the member system, and after the member enters the store again, the relevant member information is called according to the identified member face to determine the shopping guide reminding information, and targeted shopping guide reminding is performed, so that the pertinence of shopping guide service is increased, the user experience is improved, and the user viscosity is increased.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the method steps in the embodiment shown in fig. 1, and a specific execution process may refer to a specific description of the embodiment shown in fig. 1, which is not described herein again.
Fig. 4 is a schematic structural diagram of a server according to an embodiment of the present invention. As shown in fig. 4, the server 1000 may include: at least one processor 1001, such as a CPU, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display) and a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a standard wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 4, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a shopping guide auxiliary application.
In the server 1000 shown in fig. 4, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the network interface 1004 is used for data communication with the user terminal; and the processor 1001 may be configured to call the shopping guide assistant application stored in the memory 1005, and specifically perform the following operations:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records the consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
In some embodiments, the processor 1001 is further configured to:
and transmitting the aggregated customer data to a merchant terminal so that the merchant can make a marketing strategy according to the aggregated customer data.
In some embodiments, after the camera acquires the client image, the face image feature data corresponding to the client image is identified, and the face image feature data is sent to the background server.
In some embodiments, the processor 1001 is further configured to perform the following operations before aggregating the customer image data in different dimensions indicated by the data attributes of the image data:
and acquiring facial image characteristic data from the camera in an http interface mode, and identifying data attributes corresponding to the facial image characteristic data, wherein the data attributes at least comprise the shooting time of a client image, the gender and the age bracket of the client.
In some embodiments, when the processor 1001 generates and outputs member shopping guide reminding information to the shopping guide terminal according to the target member information corresponding to the detected facial features of the store-entering customer, the following operations are specifically performed:
acquiring characteristic data of a face image to be detected of a current store-entering client, which is sent by a camera;
when the target facial image characteristics matched with the facial image characteristic data to be detected exist, determining member information corresponding to the target facial image characteristics as target member information;
and generating and outputting shopping guide reminding information to a shopping guide terminal according to the shopping information corresponding to the target member information.
In the embodiment of the application, the user image acquired and identified by the store camera is associated with the member system, and after the member enters the store again, the relevant member information is called according to the identified member face to determine the shopping guide reminding information, and targeted shopping guide reminding is performed, so that the pertinence of shopping guide service is increased, the user experience is improved, and the user viscosity is increased.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A shopping guide auxiliary method based on passenger flow analysis is characterized by comprising the following steps:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
2. The shopping guide assistance method according to claim 1, further comprising:
and transmitting the aggregated customer data to a merchant terminal so that the merchant can make a marketing strategy according to the aggregated customer data.
3. The shopping guide assistance method according to claim 1, further comprising:
after the camera collects the client image, the face image feature data corresponding to the client image is identified, and the face image feature data is sent to the background server.
4. The shopping guide assistance method of claim 3, wherein prior to aggregating customer image data in different dimensions indicated by data attributes of the image data, the method further comprises:
and acquiring the facial image characteristic data from the camera in an http interface mode, and identifying data attributes corresponding to the facial image characteristic data, wherein the data attributes at least comprise the shooting time of a client image, the gender and the age bracket of the client.
5. The shopping guide assisting method according to claim 4, wherein generating and outputting member shopping guide reminding information to a shopping guide terminal according to target member information corresponding to the detected facial features of the store-entering client comprises:
acquiring characteristic data of a face image to be detected of a current store-entering customer, which is sent by the camera;
when the target facial image characteristics matched with the facial image characteristic data to be detected exist, determining member information corresponding to the target facial image characteristics as target member information;
and generating and outputting shopping guide reminding information to a shopping guide end according to the shopping information corresponding to the target member information.
6. A shopping guide auxiliary device based on passenger flow analysis is characterized by comprising:
the aggregation classification module is used for aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
the data association module is used for associating the aggregated customer data to a member system, and the member system records the consumption records of customers;
and the shopping guide reminding module is used for generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
7. The shopping guide assist device as set forth in claim 6, wherein said device further includes:
and the aggregated data transmission module is used for transmitting the aggregated customer data to the merchant terminal so that the merchant can make a marketing strategy according to the aggregated customer data.
8. The shopping guide assist device as set forth in claim 6, wherein said device further includes:
and the data attribute identification module is used for acquiring the facial image feature data from a camera in an http interface mode and identifying the data attributes corresponding to the facial image feature data, wherein the data attributes at least comprise the shooting time of a client image, the gender and the age of the client.
9. The shopping guide auxiliary device according to claim 8, wherein the shopping guide reminding module comprises:
the characteristic data acquisition unit is used for acquiring the characteristic data of the face image to be detected of the current store-entering client, which is sent by the camera;
the target member determining unit is used for determining member information corresponding to the target facial image characteristics as target member information when the target facial image characteristics matched with the facial image characteristic data to be detected are detected;
and the shopping guide reminding generating unit is used for generating and outputting shopping guide reminding information to a shopping guide end according to the shopping information corresponding to the target member information.
10. A server, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the steps of:
aggregating the customer image data according to different dimensions indicated by the data attributes of the image data to obtain the store-entering time, gender and age group distribution of the user;
associating the aggregated customer data to a member system, wherein the member system records consumption records of customers;
and generating and outputting member shopping guide reminding information to a shopping guide end according to the target member information corresponding to the detected face characteristics of the store-entering client so that the shopping guide can be conveniently carried out according to the reminding information.
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| CN112418994A (en) * | 2020-11-26 | 2021-02-26 | 珠海格力电器股份有限公司 | Commodity shopping guide method and device, electronic equipment and storage medium |
| CN117114694A (en) * | 2022-12-29 | 2023-11-24 | 珠海深蓝网络科技有限公司 | Big data analysis system and method based on CRM |
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| CN109214290A (en) * | 2018-08-03 | 2019-01-15 | 深圳市前海圆舟网络科技股份有限公司 | A kind of shops's client management method and device based on recognition of face |
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| CN112418994A (en) * | 2020-11-26 | 2021-02-26 | 珠海格力电器股份有限公司 | Commodity shopping guide method and device, electronic equipment and storage medium |
| CN117114694A (en) * | 2022-12-29 | 2023-11-24 | 珠海深蓝网络科技有限公司 | Big data analysis system and method based on CRM |
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